Jobs at Konrad Group

Coordinate digital and AI projects from inception through delivery by managing schedules, milestones, resources, scope, budgets, meetings, risks, documentation, and client communications. Collaborate with Design, Technology, Strategy, and client stakeholders; support workshops, requirements gathering, deliverables, status reporting, and feedback synthesis. The role also contributes to process improvement and uses AI tools to improve workflow efficiency.

Leads medium and large-scale digital and AI projects from planning through delivery. Manages timelines, budgets, resources, scope, risks, dependencies, stakeholder communication, client expectations, documentation, and quality standards across multidisciplinary teams. Facilitates agile ceremonies, creates delivery roadmaps and status reports, presents to clients, and mentors junior project managers. The role requires experience with digital delivery, AI initiatives, agile and waterfall methodologies, and cross-functional strategy, design, and development teams.

Lead complex, multi-stream digital and AI programs from strategy through delivery. Manage roadmaps, resources, budgets, scope, risks, and cross-functional teams across strategy, UX, and technology. Serve as a strategic client contact, facilitate executive workshops, oversee governance and reporting, and drive delivery improvements. The role requires strong stakeholder communication, portfolio management, digital transformation knowledge, and the ability to guide high-performing teams through ambiguity.

Supports digital and AI transformation projects for global clients. Responsibilities include developing digital solutions, facilitating UX design-thinking workshops, researching client processes and competitors, analyzing business challenges, coordinating projects, monitoring technology trends, and creating presentations, documentation, and proposals. The role collaborates with strategy, design, and technology teams while guiding clients toward innovative digital experiences.

Supports digital and AI product analysis across client engagements by defining KPIs, analyzing user behavior and product performance, evaluating experiments, documenting telemetry and requirements, and communicating insights through dashboards and presentations. Collaborates with product, design, engineering, data, and business stakeholders to improve tracking, reporting, and roadmap decisions.

Support client analytics initiatives by translating business questions into analytical requirements, analyzing data, building dashboards and recurring reports, tracking KPIs, validating data quality, and communicating insights through visualizations and presentations. Collaborate with engineers, analysts, and stakeholders on data modeling, reporting layers, analytics processes, and workflow improvements while developing broader consulting and digital product skills.

Leads end-to-end analytics initiatives for clients and internal stakeholders, from defining business questions and metrics through data validation, analysis, dashboards, experimentation, and executive presentations. Develops reporting frameworks, data models, governance standards, and data quality processes; performs deep-dive and A/B test analyses; collaborates with data engineers; mentors junior analysts; and translates complex findings into actionable recommendations.

Leads strategy and consulting engagements for digital and AI initiatives, managing scope, timelines, resources, risks, client relationships, and cross-functional teams. Develops digital and AI-enabled solutions, facilitates UX workshops, identifies business development opportunities, advises clients on responsible AI adoption, and mentors team members. The role requires managing multiple complex programs while balancing delivery quality, business cases, design, technology, and organizational change.

Supports consulting teams in solving client business challenges through digital, AI-enabled, design, and technology solutions. Responsibilities include researching client processes and competitive positioning, synthesizing findings with digital and AI tools, contributing to design-thinking and technology workshops, collaborating with design and technology teams, and preparing presentations, documentation, and proposals.

Leads cross-functional teams on digital and AI transformation projects, facilitating client strategy and design-thinking workshops, identifying opportunities, shaping solutions, and ensuring project goals are met. Advises clients on emerging AI trends, develops presentations and proposals, manages relationships, and mentors junior consultants while collaborating with design and technology teams.

Lead digital and AI projects from discovery through delivery. Manage project plans, timelines, budgets, scope, resources, risks, and cross-functional teams across strategy, UX, and technology. Serve as the primary client contact, facilitate workshops, resolve blockers, and ensure high-quality deliverables. The role also involves translating business challenges into actionable plans, preparing client-facing materials, and using AI tools to improve workflow efficiency.

Develop and deliver maintainable, testable, performant full-stack web applications using Java and Spring Boot. Collaborate on code reviews, testing, technology research, and software workflow improvements. Build consumer and enterprise applications with frontend frameworks, databases, APIs, security, optimization, and cloud technologies while communicating effectively within a development team.

Develop iOS applications for consumer and enterprise clients using Swift. Responsibilities include writing maintainable and performant code, participating in code reviews, conducting testing, researching development tools, and collaborating with team members. The role requires knowledge of mobile application architecture, UI implementation, REST APIs, server-side integration, and common architectural patterns.

Develop and lead major features for consumer and enterprise iOS applications. Write maintainable, testable, and performant Swift software; collaborate with designers, project managers, and cross-platform developers; mentor teammates; conduct code reviews and testing; research technologies; and improve development workflows. The role requires strong mobile architecture, UI, API integration, accessibility, testing, and end-to-end application development expertise.

Define quality engineering strategy and architecture for complex digital and AI-enabled products. Build scalable automated testing frameworks across web, mobile, APIs, integrations, and backend systems. Establish CI/CD quality gates, performance, accessibility, security, and AI application testing practices. Evaluate AI-assisted testing tools and workflows, advise clients, develop reusable frameworks, measure quality outcomes, and mentor QA engineers and technical leads.

Develop Android applications for consumer and enterprise clients. Responsibilities include writing maintainable and performant software, participating in code reviews, testing applications, researching development technologies, and collaborating with cross-functional teams. The role requires modern Android development experience with Java or Kotlin, Android Jetpack, UI implementation, REST APIs, mobile architecture, and design patterns such as MVVM or MVP.

Develop and maintain consumer and enterprise Android applications, lead major product features, mentor developers, participate in code reviews, conduct testing, research technologies, and collaborate with designers, project managers, and cross-platform developers. The role requires modern Android expertise, strong software engineering fundamentals, effective communication, and a focus on quality, accessibility, and workflow improvement.

Designs and maintains automated tests across web, mobile, API, integration, and backend systems. Develops risk-based testing strategies, integrates quality checks into CI/CD pipelines, investigates defects, and validates AI-powered features. The role applies AI-assisted testing techniques, contributes to test frameworks and engineering standards, supports release readiness, and mentors junior QA engineers while collaborating with cross-functional teams.

Supports client analytics engagements through dataset analysis, dashboard and report development, KPI tracking, data validation, documentation, visualization, and communicating insights. Collaborates with senior analysts and data engineers while developing consulting, data modeling, reporting, and analytical workflow skills.

Designs, builds, and maintains scalable data platforms, architectures, and pipelines using Microsoft Fabric, Databricks, and Snowflake. Responsibilities include data modeling, ETL/ELT, workflow optimization, security and compliance, data quality improvements, and collaboration with analysts, scientists, engineers, and business stakeholders.